Paradigm Model of Factors Affecting Open Government Data Policy in Iran's Sports Industry

Document Type : Research Paper

Authors

1 PhD student, Department of Sports Management, Karaj Branch, Islamic Azad University, Karaj, Iran.

2 Associate Professor, Department of Physical Education, Karaj Branch, Islamic Azad University, Karaj, Iran.

3 Assistant Professor, Sports Management Department, Karaj Branch, Islamic Azad University, Karaj, Iran.

4 Professor, Sports Management Department, Karaj Branch, Islamic Azad University, Karaj, Iran.

Abstract

One of the new approaches formed in the field of policy making and governance is the issue of open data governance policy. Achieving this goal requires identifying the existing situation, explaining the desired situation, and analyzing the gap between thetwo desired and existing situations. So the present study aimed to design a paradigm model of factors affecting open government data policy in the Iranian sports industry. This research is of qualitative type and is development-appliedpurpose. The statistical population includes academic faculty members, policy makers and sports decision makers in the country at the macro level Samplingwas done using the snowball method and finally theoretical saturation occurred with 15 interviews. Data collection tools included semi-structured interviews and coding was used to analyze the specialized inteviews. Based on the findings the model of the effective factors on open government data policy in Iran's sports industry and the paradigm model based on the paradigm model of Strauss and Corbin were designed. The results indicate that this model has 6 main dimensions including causal conditions (lack of sports development, low participation, poor creativity and policy-making, etc.), interveners (institutional factors, cultural and social factors, information distribution channels, etc.), backgroundconditions (environmental factors, legal factors, technical infrastructure of Iranian sports, etc.), central categories (growth and development of championship sports, financial processes, policy improvement, etc.), strategies (education and research, appropriate database, culturalization, etc.), and consequences (economic consequences, visible consequences of industry, socio-political consequences, etc.) Finally, 168 final codes, 62 concepts, 32 sub-categories and 6 main categories were formed by using the foundation's data theory method. With the analysis and back-and-forth that took place, adjustments were made in the initial answers, and the story line and concept selection criteria were formulated in each of the dimensions of the model.

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References

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Applied Research in Sport Management
Volume 12, Issue 2 - Serial Number 46
fall2023
October 2023
Pages 93-110

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History

  • Receive Date: 14 September 2022
  • Revise Date: 06 December 2022
  • Accept Date: 19 October 2023

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